Learning Automata: An Introduction

Learning Automata: An Introduction

By: Kumpati S. Narendra, Mandayam A.L. Thathachar

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This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms. This volume also provides a fine guide for independent study and a reference for students and professionals in operations research, computer science, artificial intelligence, and robotics. The authors have provided a new preface for this edition.

Reprint of the Prentice-Hall, Inc, Englewood Cliffs, New Jersey, 1989 edition.
AvailabilityUsually ships in 24 to 48 hours
ISBN 100486498778
ISBN 139780486498775
Author/EditorKumpati S. Narendra, Mandayam A.L. Thathachar
Page Count496
Dimensions6 1/2 x 9

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